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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: January 2023

Volume 8 | Issue 1

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Published Paper Details
Paper Title: Detect Nail Peculiarity Using Image Segmentation
Authors Name: P.Vimal kumar , Dr. C. Balasubramanian
Unique Id: IJSDR1902028
Published In: Volume 4 Issue 2, February-2019
Abstract: Medical Image Processing plays a vital role in diagnosing various diseases like skin cancer, brain tumor, breast cancer and diseases related to lungs and heart. Human nail acts as a window of the human body for diagnosing the diseases. The segmentation techniques to extract the infected nail regions and their shape attributes are calculated and analyzed. Initially the nail image is segmented using Watershed, Thresholding and K-means segmentation Techniques. Then, the Shape features of the segmented nail region are extracted which can be further used in the diagnosis of nail diseases. The results of the three segmentation techniques are compared and analyzed based on these features.
Keywords: : Medical Image Processing, Finger Nail, Nail Disease, Watershed, Thresholding and K-means segmentation, Nail Peculiarity.
Cite Article: "Detect Nail Peculiarity Using Image Segmentation", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 2, page no.162 - 170, February-2019, Available :http://www.ijsdr.org/papers/IJSDR1902028.pdf
Downloads: 000201506
Publication Details: Published Paper ID: IJSDR1902028
Registration ID:190107
Published In: Volume 4 Issue 2, February-2019
DOI (Digital Object Identifier):
Page No: 162 - 170
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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